WO2010002214A2 - Procédé et dispositif de codage d'images, et procédé et dispositif de décodage correspondants - Google Patents

Procédé et dispositif de codage d'images, et procédé et dispositif de décodage correspondants Download PDF

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Publication number
WO2010002214A2
WO2010002214A2 PCT/KR2009/003634 KR2009003634W WO2010002214A2 WO 2010002214 A2 WO2010002214 A2 WO 2010002214A2 KR 2009003634 W KR2009003634 W KR 2009003634W WO 2010002214 A2 WO2010002214 A2 WO 2010002214A2
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Prior art keywords
pixel
prediction
coding unit
unit
value
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PCT/KR2009/003634
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English (en)
Korean (ko)
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WO2010002214A3 (fr
Inventor
알쉬나엘레나
알쉰알렉산더
세레긴바딤
쉬라코프니콜라이
코로티프막심
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삼성전자 주식회사
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Priority to US13/002,398 priority Critical patent/US8879626B2/en
Priority to JP2011516154A priority patent/JP5314136B2/ja
Priority to CN200980134680.3A priority patent/CN102144393B/zh
Priority to EP09773750.6A priority patent/EP2309756B1/fr
Application filed by 삼성전자 주식회사 filed Critical 삼성전자 주식회사
Publication of WO2010002214A2 publication Critical patent/WO2010002214A2/fr
Publication of WO2010002214A3 publication Critical patent/WO2010002214A3/fr
Priority to US13/403,534 priority patent/US8311110B2/en
Priority to US13/683,749 priority patent/US8824549B2/en
Priority to US13/686,635 priority patent/US8611420B2/en
Priority to US13/686,499 priority patent/US8649435B2/en
Priority to US14/107,910 priority patent/US8837590B2/en
Priority to US14/107,802 priority patent/US8902979B2/en
Priority to US14/501,769 priority patent/US9118913B2/en
Priority to SM201500060T priority patent/SMT201500060B/xx
Priority to SM201500075T priority patent/SMT201500075B/xx
Priority to SM201500073T priority patent/SMT201500073B/xx
Priority to US14/802,651 priority patent/US9402079B2/en

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Definitions

  • the present invention relates to a video encoding method and apparatus for improving the compression efficiency of an image through post-processing of predicted image data, and a decoding method and apparatus thereof.
  • one picture is divided into macro blocks to encode an image.
  • Each macroblock is encoded in all encoding modes available for inter prediction and intra prediction, and then one encoding mode is selected according to the bit rate required for encoding the macro block and the degree of distortion of the original macro block and the decoded macro block. Select to encode the macro block.
  • video codec for efficiently encoding or decoding high resolution or high definition video content.
  • video is encoded according to a limited prediction mode based on a macroblock of a predetermined size.
  • FIG. 1 is a block diagram of an image encoding apparatus according to an embodiment of the present invention.
  • FIG. 2 is a block diagram of an image decoding apparatus according to an embodiment of the present invention.
  • FIG. 3 illustrates a hierarchical coding unit according to an embodiment of the present invention.
  • FIG. 4 is a block diagram of an image encoder based on coding units, according to an embodiment of the present invention.
  • FIG. 5 is a block diagram of an image decoder based on coding units, according to an embodiment of the present invention.
  • FIG. 6 is a diagram of deeper coding units according to depths, and prediction units, according to an embodiment of the present invention.
  • FIG. 7 illustrates a relationship between coding units and transformation units, according to an embodiment of the present invention.
  • FIG. 8 illustrates encoding information according to depths, according to an embodiment of the present invention.
  • FIG. 9 is a diagram of deeper coding units according to depths, according to an embodiment of the present invention.
  • 10A and 10B illustrate a relationship between a coding unit, a prediction unit, and a frequency transformation unit, according to an embodiment of the present invention.
  • FIG. 11 is a diagram of encoding information according to coding units, according to an embodiment of the present invention.
  • FIG. 12 is a block diagram illustrating a configuration of an intra prediction apparatus 1200 according to an embodiment of the present invention.
  • FIG. 13 illustrates the number of intra prediction modes according to the size of a coding unit, according to an embodiment of the present invention.
  • 14A to 14C illustrate an example of an intra prediction mode applied to a coding unit having a predetermined size, according to an embodiment of the present invention.
  • FIG. 15 illustrates another example of an intra prediction mode applied to a coding unit of a predetermined size, according to an embodiment of the present invention.
  • 16 is a reference diagram for explaining intra prediction modes having various directions according to an embodiment of the present invention.
  • 17 is a reference diagram for describing a bilinear mode according to an embodiment of the present invention.
  • FIG. 18 is a reference diagram for explaining a post-processing operation of a first prediction coding unit according to an embodiment of the present invention.
  • 19 is a reference diagram for explaining an operation of the post-processing unit 1220 according to an embodiment of the present invention.
  • FIG. 20 is a reference diagram for explaining peripheral pixels used in the post processor 1220 according to an exemplary embodiment.
  • 21 is a flowchart illustrating an image encoding method according to an embodiment of the present invention.
  • 22 is a flowchart illustrating an image decoding method according to an embodiment of the present invention.
  • An object of the present invention is to provide a video encoding method and apparatus, and a decoding method and apparatus for improving the compression efficiency of the video.
  • a new prediction block is generated by changing the pixel value of each pixel in the prediction block.
  • the compression efficiency of an image may be improved by generating a new prediction block by changing a pixel value of each pixel in the prediction block through post-processing on the prediction block.
  • An image encoding method includes generating a first prediction coding unit for a current coding unit to be encoded; Generating a second prediction coding unit by changing a pixel value of each pixel by using each pixel constituting the first prediction coding unit and at least one neighboring pixel; And encoding a difference value between the current coding unit and the second prediction coding unit.
  • An image encoding apparatus includes a prediction unit generating a first prediction coding unit for a current coding unit to be encoded; A post processor configured to generate a second prediction coding unit by changing a pixel value of each pixel by using each pixel constituting the first prediction coding unit and at least one neighboring pixel; And an encoder which encodes a difference between the current coding unit and the second prediction coding unit.
  • An image decoding method includes extracting prediction mode information of a current decoding unit to be decoded from a received bitstream; Generating a first prediction decoding unit for the current decoding unit according to the extracted prediction mode information; Extracting operation information using each pixel constituting the first prediction decoding unit and neighboring pixels of the pixel from the bitstream; Generating a second prediction decoding unit by changing a pixel value of each pixel using each pixel constituting the first prediction decoding unit and peripheral pixels of each pixel according to the extracted operation information; Extracting and reconstructing a residual corresponding to a difference between the current decoding unit and the second prediction decoding unit from the bitstream; And decoding the current decoding unit by adding the residual and the second prediction decoding unit.
  • An image decoding apparatus includes each pixel constituting prediction mode information of a current decoding unit decoded from a received bitstream and a first prediction decoding unit for the current decoding unit, and neighboring pixels of each pixel.
  • An entropy decoder for extracting operation information using the apparatus;
  • a prediction unit generating the first prediction decoding unit according to the extracted prediction mode information;
  • a post processor configured to generate a second prediction decoding unit by changing a pixel value of each pixel using each pixel constituting the first prediction decoding unit and peripheral pixels of each pixel according to the extracted operation information;
  • An inverse transform and inverse quantizer for restoring a residual corresponding to a difference between the current decoding unit and the second prediction decoding unit from the bitstream;
  • an adder configured to add the residual and the second prediction decoding unit to decode the current decoding unit.
  • FIG. 1 is a block diagram of an image encoding apparatus according to an embodiment of the present invention.
  • an image encoding apparatus 100 may include a maximum coding unit splitter 110, a coded depth determiner 120, an image data encoder 130, and an encoding information encoder. 140.
  • the maximum coding unit splitter 110 splits the current picture or the current slice based on the maximum coding unit that is the largest coding unit.
  • the current picture or the current slice is split into at least one maximum coding unit.
  • the divided image data may be output to the coded depth determiner 120 for at least one maximum coding unit.
  • a coding unit may be expressed using a maximum coding unit and a depth.
  • the maximum coding unit represents a coding unit having the largest size among the coding units of the current picture, and the depth represents the size of a sub coding unit in which the coding unit is hierarchically reduced.
  • the coding unit may be reduced from the maximum coding unit to the minimum coding unit, the depth of the maximum coding unit may be defined as the minimum depth, and the depth of the minimum coding unit may be defined as the maximum depth.
  • a sub-coding unit having a depth of k may include a plurality of sub-coding units having a depth of k + 1 or more.
  • each maximum coding unit may include coding units reduced by depth. Since the maximum coding unit is reduced for each depth according to an embodiment of the present invention, image data of a spatial domain included in the maximum coding unit may be hierarchically classified according to the depth.
  • the maximum depth and the maximum size of the coding unit that limit the total number of hierarchically reduced heights and widths of the current coding unit from the maximum coding unit to the highest coding unit may be preset.
  • the maximum coding unit and the maximum depth may be set in picture or slice units. That is, each picture or slice may have a different maximum coding unit and maximum depth, and the minimum coding unit size included in the maximum image coding unit may be variably set according to the maximum depth. In this way, the maximum coding unit and the maximum depth can be variably set for each picture or slice, so that a flat area image is encoded using a larger maximum coding unit, thereby improving the compression rate, and a large complexity image is encoded with a smaller size. By using the unit, the compression efficiency of the image can be improved.
  • the coding depth determiner 120 determines a different maximum depth for each maximum coding unit.
  • the maximum depth may be determined based on the rate-distortion cost calculation.
  • the determined maximum depth is output to the encoding information encoder 140, and the image data for each maximum coding unit is output to the image data encoder 130.
  • Image data in the largest coding unit is encoded based on coding units according to depths according to at least one depth less than or equal to the maximum depth, and encoding results based on the coding units for each depth are compared. As a result of comparing the encoding error of the coding units according to depths, a depth having the smallest encoding error may be selected. At least one coding depth may be determined for each maximum coding unit.
  • the coding unit As the depth of the maximum coding unit increases, the coding unit is hierarchically divided and reduced, and the number of coding units increases. In addition, even if the coding units of the same depth included in one maximum coding unit, the coding error for each data is measured and it is determined whether to reduce to the higher depth. Therefore, even in the data included in one largest coding unit, since the encoding error for each depth is different according to the position, the coding depth may be differently determined according to the position. In other words, the maximum coding unit may be divided into sub-coding units having different sizes according to different depths. One or more coding depths may be set for one maximum coding unit, and the data of the maximum coding unit may have one or more coding depths. It may be divided according to coding units of.
  • sub-coding units of different sizes included in the largest coding unit may be predicted or frequency-converted based on processing units of different sizes.
  • the image encoding apparatus 100 may perform a plurality of processing steps for image encoding based on various sizes and various types of processing units.
  • processing steps such as prediction, frequency conversion, and entropy encoding are performed, and processing units having the same size may be used in all steps, or processing units having different sizes may be used in stages.
  • the image encoding apparatus 100 may select a processing unit different from the coding unit to predict the coding unit.
  • the processing unit for prediction may be 2Nx2N, 2NxN, Nx2N, NxN, or the like.
  • motion prediction may be performed based on a processing unit of half of at least one of a height or a width of a coding unit.
  • the data unit on which the prediction is based is called a 'prediction unit'.
  • the prediction mode may be at least one of an intra mode, an inter mode, and a skip mode, and the specific prediction mode may be performed only for a prediction unit of a specific size or shape.
  • the intra mode may be performed only for a prediction unit having a square size of 2N ⁇ 2N or N ⁇ N.
  • the skip mode may be performed only for a prediction unit having a size of 2N ⁇ 2N. If there are a plurality of prediction units in the coding unit, a prediction mode having the smallest encoding error may be selected by performing prediction for each prediction unit.
  • the image encoding apparatus 100 may frequency-convert the image data based on a processing unit having a size different from that of the coding unit. Frequency conversion may be performed based on a data unit having a size smaller than or equal to the coding unit for frequency conversion of the coding unit.
  • the processing unit which becomes the basis of frequency conversion is called a "conversion unit.”
  • the coding depth determiner 120 measures a coding error of coding units according to depths using a Lagrangian Multiplier-based rate-distortion optimization technique to have an optimal coding error.
  • the partition form of can be determined.
  • the coded depth determiner 120 may determine which type of sub-coding unit is divided into a maximum coding unit, wherein the plurality of sub-coding units vary in size according to depth.
  • the image data encoder 130 encodes image data of a maximum coding unit based on at least one coded depth determined by the coded depth determiner 120, and outputs a bitstream. Since the encoding depth determiner 120 has already performed encoding to measure the minimum encoding error, the encoded depth determiner 120 may output the encoded data stream.
  • the encoding information encoder 140 outputs a bitstream by encoding information about an encoding mode according to depths for each largest coding unit, based on at least one coded depth determined by the coded depth determiner 120.
  • the information about the encoding modes for each depth may include coded depth information, split type information of a prediction unit of a coding unit of a coding depth, prediction mode information for each prediction unit, size information of a transformation unit, and the like.
  • the coded depth information may be defined using depth-specific reduction information indicating whether to encode in a coding unit of a higher depth without encoding to the current depth. If the current depth of the current coding unit is a coded depth, since the current coding unit is encoded in a coding unit of the current depth, the reduced information of the current depth may no longer be reduced to a higher depth. On the contrary, if the current depth of the current coding unit is not the coding depth, encoding should be attempted using the coding unit of the higher depth, and thus the reduced information of the current depth may be defined to be reduced to the coding unit of the higher depth.
  • encoding is performed on the coding unit reduced to the coding unit of the higher depth. Since at least one coding unit of the higher depth exists in the coding unit of the current depth, encoding may be repeatedly performed for each coding unit of each higher depth, and recursive coding may be performed for each coding unit of the same depth.
  • At least one coding depth is determined in one maximum coding unit and information about at least one coding mode should be determined for each coding depth, information about at least one coding mode may be determined for one maximum coding unit.
  • the coding depth may be different for each location, and thus information about the coded depth and the coding mode may be set for the data.
  • the encoding information encoder 140 may set corresponding encoding information for each minimum coding unit included in the maximum coding unit. That is, the coding unit of the coded depth includes at least one minimum coding unit having the same coding information. By using this, if the neighboring minimum coding units have the same depth-specific encoding information, it may be the minimum coding unit included in the same maximum coding unit.
  • a coding unit for each depth is a coding unit having a size in which a height and a width of a coding unit of one layer lower depth are divided by half. That is, if the size of the coding unit of the current depth k is 2Nx2N, the size of the coding unit of the higher depth k + 1 is NxN. Therefore, a current coding unit having a size of 2Nx2N may include at most four higher depth coding units having a size of NxN.
  • the image decoding apparatus 100 may determine an optimal shape division form for each maximum coding unit based on the size and the maximum depth of the maximum coding unit determined in consideration of the characteristics of the current picture.
  • an optimal coding mode may be determined in consideration of image characteristics of coding units having various image sizes.
  • the image encoding apparatus may adjust the coding unit in consideration of the image characteristics while increasing the maximum size of the coding unit in consideration of the size of the image, thereby increasing image compression efficiency.
  • FIG. 2 is a block diagram of an image decoding apparatus according to an embodiment of the present invention.
  • the image decoding apparatus 200 includes an image data acquisition unit 210, an encoding information extractor 220, and an image data decoder 230.
  • the image related data obtaining unit 210 parses the bit string received by the image decoding apparatus 200, obtains image data for each maximum coding unit, and outputs the image data to the image data decoding unit 230.
  • the image-related data acquisition unit 210 may extract information on the maximum coding unit of the current picture or slice from the header for the current picture or slice.
  • the image decoding apparatus 200 decodes image data for each largest coding unit.
  • the encoding information extracting unit 220 parses the bit string received by the image decoding apparatus 200 and extracts information about a coded depth and an encoding mode for each maximum coding unit from a header for the current picture.
  • the extracted information about the coded depth and the coding mode is output to the image data decoder 230.
  • the information about the coded depth and the encoding mode for each largest coding unit may be set for one or more coded depth information, and the information about the coding mode for each coded depth may include split type information of a prediction unit for each coding unit, prediction mode information, and the like.
  • the size information of the transformation unit may be included.
  • reduced coded information for each depth may be extracted as the coded depth information.
  • the information about the split form of the largest coding unit may include information about sub-coding units having different sizes according to the depth included in the maximum coding unit, and the information about the encoding mode may include information about a prediction unit for each sub-coding unit, Information on the prediction mode and information on the transformation unit may be included.
  • the image data decoder 230 reconstructs the current picture by decoding the image data of each maximum coding unit based on the information extracted by the encoding information extractor.
  • the image data decoder 230 may decode the sub coding unit included in the maximum coding unit based on the information about the split form of the maximum coding unit.
  • the decoding process may include a motion prediction process including intra prediction and motion compensation, and a frequency inverse transform process.
  • the image data decoder 230 reconstructs the current picture by decoding image data of each maximum coding unit based on the information about the coded depth and the encoding mode for each maximum coding unit. Based on the coded depth information for each largest coding unit, the image data decoder 230 may decode the image data for each coding unit of at least one coded depth.
  • the decoding process may include a prediction process including an intra prediction and motion compensation and an inverse transform process.
  • the image data decoder 230 performs intra prediction or motion in each prediction unit and prediction mode for each coding unit, based on the split type information and the prediction mode information of the prediction unit of the coding unit according to the coding depths, for the prediction of each coding unit. Compensation can be performed.
  • the image data decoder 230 may perform inverse transformation in each transformation unit for each coding unit based on size information of the transformation unit of the coding unit for each coding depth, for inverse transformation for each maximum coding unit.
  • the image data decoder 230 may determine the coded depth of the current maximum coding unit using the reduced information for each depth. If the reduced information indicates decoding to the current depth, the current depth is the coded depth. Therefore, the image data decoder 230 may decode the coding unit of the current depth with respect to the image data of the current maximum coding unit by using the partition type, the prediction mode, and the transformation unit size information of the prediction unit. In other words, by observing the encoding information set for the minimum coding unit, the minimum coding unit holding the encoding information including the same reduced information can be collected and decoded into one data unit.
  • the image decoding apparatus 200 may obtain information about a coding unit that generates a minimum coding error by recursively encoding each maximum coding unit in an encoding process, and use the same to decode the current picture. have. That is, the image data can be decoded in an optimal coding unit for each maximum coding unit. Therefore, even if a high resolution image or an excessively large amount of data is used, the image data can be efficiently used according to the coding unit size and the encoding mode that are adaptively determined according to the characteristics of the image by using the information about the optimum encoding mode transmitted from the encoding end. Can be decoded and restored.
  • FIG. 3 illustrates a hierarchical coding unit according to an embodiment of the present invention.
  • the hierarchical coding unit may include 32x32, 16x16, 8x8, and 4x4 starting from a coding unit having a width x height of 64x64.
  • the video data 310 has a resolution of 1920x1080, a maximum coding unit size of 64, and a maximum depth of 2.
  • the resolution is set to 1920x1080
  • the maximum size of the coding unit is 64
  • the maximum depth is set to 4.
  • the resolution is set to 352x288, the maximum size of the coding unit is 16, and the maximum depth is 2.
  • the maximum size of the coding size be relatively large in order to not only improve the compression ratio but also accurately reflect the image characteristics. Accordingly, the video data 310 or 320 having a higher resolution than the video data 330 may be selected to have a maximum size of 64.
  • the maximum depth represents the total number of layers in the hierarchical coding unit. Accordingly, since the maximum depth of the video data 310 is 2, the coding unit 315 of the video data 310 is encoded from the largest coding unit having a long axis size of 64 by two layers of depth, and has a long axis size of 32 or 16. It can include up to units. On the other hand, since the maximum depth of the video data 330 is 2, the coding unit 335 of the video data 330 has two long depths of encoding from the coding units having the long axis size of 16, so that the long axis sizes are 8 and 4 It can include up to units.
  • the coding unit 325 of the video data 320 increases the depth by four layers from the maximum coding unit having the long axis size of 64, so that the long axis size is 32, 16, 8, 4 It is possible to include even coding units. As the depth is increased, the image is encoded based on a smaller sub-coding unit, thereby making it suitable for encoding an image including a finer scene.
  • FIG. 4 is a block diagram of an image encoder based on coding units, according to an embodiment of the present invention.
  • the intra predictor 410 performs intra prediction on the prediction unit of the intra mode in the current frame 405, and the motion estimator 420 and the motion compensator 425 predict the inter mode. Inter prediction and motion compensation are performed using the current frame 405 and the reference frame 495 for the unit.
  • Residual values are generated based on the prediction unit output from the intra predictor 410, the motion estimator 420, and the motion compensator 425, and the generated residual values are the frequency converter 430 and the quantizer. 440 is output as a quantized transform coefficient.
  • the intra prediction unit 410 according to an embodiment of the present invention performs post-processing for changing each pixel of an intra-predicted coding unit by using neighboring pixels, and then post-processing.
  • the residual values which are the difference between the encoded coding unit and the original coding unit, may be output as quantized transform coefficients through the frequency transformer 430 and the quantizer 440.
  • the quantized transform coefficients are restored to the residual values through the inverse quantizer 460 and the frequency inverse transformer 470, and the restored residual values are passed through the deblocking unit 480 and the loop filtering unit 490. Processed and output to the reference frame 495.
  • the quantized transform coefficients may be output to the bitstream 455 via the entropy encoder 450.
  • the components of the image encoder 400, an intra predictor 410, a motion estimator 420, a motion compensator 425, and a frequency transform are all the maximum coding units.
  • the image encoding processes are processed based on a sub coding unit, a prediction unit, and a transformation unit according to the depth.
  • the intra predictor 410, the motion estimator 420, and the motion compensator 425 determine the prediction unit and the prediction mode in the coding unit in consideration of the maximum size and the depth of the coding unit, and the frequency converter 430. ) Should consider the size of the transform unit in consideration of the maximum size and depth of the coding unit.
  • FIG. 5 is a block diagram of an image decoder based on coding units, according to an embodiment of the present invention.
  • the bitstream 505 is parsed through the parser 510 to encode encoded image data and encoding information necessary for decoding.
  • the encoded image data is output as inverse quantized data through an entropy decoder 520 and an inverse quantizer 530, and reconstructed into residual values through a frequency inverse transformer 540.
  • the residual values are added to the result of the intra prediction of the intra predictor 550 or the result of the motion compensation of the motion compensator 560 and reconstructed for each coding unit.
  • the reconstructed coding unit is used for prediction of the next coding unit or the next picture through the deblocking unit 570 and the loop filtering unit 580.
  • the video decoding processes are performed.
  • the intra predictor 550 and the motion compensator 560 determine the prediction unit and the prediction mode in the coding unit in consideration of the maximum size and the depth of the coding unit, and the frequency inverse transformer 540 determines the maximum size of the coding unit. Considering the depth and depth, the size of the transform unit should be considered.
  • FIG. 6 is a diagram of deeper coding units according to depths, and prediction units, according to an embodiment of the present invention.
  • the image encoding apparatus 100 and the image decoding apparatus 200 use hierarchical coding units to consider image characteristics.
  • the maximum height, width, and maximum depth of the coding unit may be adaptively determined according to the characteristics of the image, and may be variously set according to a user's request. According to the maximum size of the preset coding unit, the size of the coding unit for each depth may be determined.
  • the hierarchical structure 600 of a coding unit illustrates a case in which the maximum height and width of the coding unit are 64 and the maximum depth is four. Since the depth increases along the vertical axis of the hierarchical structure 600 of the coding unit, the height and the width of the coding unit for each depth are reduced. Also, a prediction unit that is a partial data unit that is a prediction base of each deeper coding unit is illustrated along the horizontal axis of the hierarchical structure 600 of the coding unit.
  • the maximum coding unit 610 has a depth of 0 as a maximum coding unit of the hierarchical structure 600 of the coding unit, and a size, that is, a height and a width, of the coding unit is 64x64.
  • the depth increases along the vertical axis and includes a coding unit 620 of depth 1 having a size of 32x32, a coding unit 630 of depth 2 having a size of 16x16, a coding unit 640 of depth 3 having a size of 8x8, and a depth of 4 having a depth of 4x4.
  • the coding unit 650 exists.
  • a coding unit 650 having a depth of 4 having a size of 4 ⁇ 4 is a minimum coding unit.
  • partial data units are shown as prediction units of coding units along a horizontal axis for each depth. That is, the prediction unit of the largest coding unit 610 of size 64x64 having a depth of 0 is a partial data unit 610 of size 64x64 included in the coding unit 610 of size 64x64, and partial data units 612 of size 64x32. , Partial data units 614 of size 32x64 and partial data units 616 of size 32x32.
  • the prediction unit of the coding unit 620 having a size of 32x32 having a depth of 1 may be a partial data unit 620 having a size of 32x32, the partial data units 622 having a size of 32x16, and a size of 16x32 included in the coding unit 620 having a size of 32x32. May be partial data units 624 of, partial data units 626 of size 16x16.
  • the prediction unit of the coding unit 630 of size 16x16 having a depth of 2 is a partial data unit 630 of size 16x16 included in the coding unit 630 of size 16x16, partial data units 632 of size 16x8, and size 8x16. May be partial data units 634 of, partial data units 636 of size 8x8.
  • the prediction unit of the coding unit 640 of size 8x8 having a depth of 3 includes the partial data unit 640 of the size 8x8 included in the coding unit 640 of the size 8x8, the partial data units 642 of the size 8x4, and the size 4x8. May be partial data units 644, and partial data units 646 of size 4 ⁇ 4.
  • the coding unit 650 having a depth of 4 has a minimum coding unit, the coding unit having the highest depth, and the prediction unit is also a data unit 650 having a size of 4 ⁇ 4.
  • the coded depth determiner 120 of the image encoding apparatus performs encoding on each coding unit of each depth included in the maximum coding unit 610. It must be done.
  • the number of deeper coding units includes data of the same range and size
  • the number of deeper coding units increases as the depth increases. For example, four coding units of depth 2 are required for data included in one coding unit of depth 1. Therefore, in order to compare the encoding results of the same data for each depth, each of the coding units having one depth 1 and four coding units having four depths 2 should be encoded.
  • encoding is performed for each prediction unit of each coding unit along a horizontal axis of the hierarchical structure 600 of the coding unit, and a representative coding error, which is the smallest coding error at a corresponding depth, may be selected.
  • the depth may be increased along the vertical axis of the hierarchical structure 600 of the coding unit, the encoding may be performed for each depth, and the minimum coding error may be searched by comparing the representative coding error for each depth.
  • the depth in which the minimum coding error occurs in the maximum coding unit 610 may be selected as the coding depth and the split type of the maximum coding unit 610.
  • FIG. 7 illustrates a relationship between coding units and transformation units, according to an embodiment of the present invention.
  • the image encoding apparatus 100 and the image decoding apparatus 200 divide and encode or decode an image into coding units having a size smaller than or equal to the maximum coding unit for each maximum coding unit.
  • the size of a transform unit for frequency transformation during the encoding process may be selected based on a data unit that is not larger than each coding unit. For example, when the current coding unit 710 is 64x64 size, frequency conversion may be performed using the 32x32 size transformation unit 720.
  • the data of the 64x64 coding unit 710 is encoded by performing frequency transformation on the 32x32, 16x16, 8x8, and 4x4 size transformation units of 64x64 size or less, and then the transformation unit having the least error with the original is obtained. Can be selected.
  • FIG. 8 illustrates encoding information according to depths, according to an embodiment of the present invention.
  • the encoding information encoder of the image encoding apparatus 100 is information about an encoding mode.
  • Information 820 about the size of the transform unit may be encoded and transmitted.
  • the information about the split type 800 represents information about a type in which the current coding unit is split as a prediction unit for motion prediction of the current coding unit.
  • the current coding unit CU_0 of depth 0 and size 2Nx2N includes a prediction unit 802 of size 2Nx2N, a prediction unit 804 of size 2NxN, a prediction unit 806 of size Nx2N, and a prediction unit of size NxN 808.
  • the information 800 about the split type of the current coding unit includes a prediction unit 802 of size 2Nx2N, a prediction unit 804 of size 2NxN, a prediction unit 806 of size Nx2N, and a prediction unit 808 of size NxN. It is set to indicate one of the.
  • the information 810 about the prediction mode indicates a motion prediction mode of each prediction unit. For example, through the information 810 about the prediction mode, the prediction unit indicated by the information 800 about the partition type is performed by the motion prediction as one of the intra mode 812, the inter mode 814, and the skip mode 816. Can be set.
  • the information about the transform unit size 820 indicates whether to transform the current coding unit based on the transform unit.
  • the transform unit may be one of a first intra transform unit size 822, a second intra transform unit size 824, a first inter transform unit size 826, and a second intra transform unit size 828. have.
  • the encoding information extracting unit of the image decoding apparatus 200 may include information about a partition type 800, information 810 about a prediction mode, and a transform unit size for each coding unit for each depth.
  • the information 820 may be extracted and used for decoding.
  • FIG. 9 is a diagram of deeper coding units according to depths, according to an embodiment of the present invention.
  • Reduced information may be used to indicate whether the depth is increased.
  • the reduced information indicates whether a coding unit of a current depth is reduced to a coding unit of a higher depth.
  • the prediction unit 910 for motion prediction of a coding unit having a depth of 0 and 2N_0x2N_0 size includes a division type 912 of 2N_0x2N_0 size, a division type 914 of 2N_0xN_0 size, a division type 916 of N_0x2N_0 size, and a division of N_0xN_0 size Type 918 may be included.
  • coding through motion prediction should be performed repeatedly for one prediction unit of 2N_0xN_0 size, two prediction units of 2N_0xN_0 size, two prediction units of N_0x2N_0 size, and four prediction units of N_0xN_0 size.
  • motion prediction may be performed in intra mode and inter mode, and motion prediction may be performed only in inter mode as prediction units of size N_0x2N_0 and size N_0xN_0.
  • the skip mode may be performed only for prediction units of size 2N_0xN_0.
  • the depth 0 is increased to 1 (920), and the coding units 922, 924, 926, and 928 have the depth 2 and the split type coding units having the size N_0xN_0.
  • the prediction unit 930 for motion prediction of a coding unit having a depth of 1 and a size of 2N_1x2N_1 includes a split type 932 of size 2N_1x2N_1, a split type 934 of size 2N_1xN_1, and a split type 936 of size N_1x2N_1. And a split type 938 of size N_1xN_1.
  • coding through motion prediction must be performed repeatedly for one prediction unit of size 2N_1x2N_1, two prediction units of size 2N_1xN_1, two prediction units of size N_1x2N_1, and four prediction units of size N_1xN_1.
  • the depth 1 and the coding units 942, 944, 946, and 948 of the depth 2 and the size N_2xN_2 are increased (940). We can repeatedly search for the minimum coding error.
  • depth reduction information for each depth may be set until the depth d-1. That is, the prediction unit 950 for the motion prediction of the coding unit having the depth d-1 and the size 2N_ (d-1) x2N_ (d-1) is divided by the size 2N_ (d-1) x2N_ (d-1).
  • Type 952 Split Type 954 of Size 2N_ (d-1) xN_ (d-1), Split Type 956 of Size N_ (d-1) x2N_ (d-1), Size N_ (d- 1) xN_ (d-1) may include a partition type 958.
  • encoding through motion prediction should be performed repeatedly. Since the maximum depth is d, the coding unit 952 of the depth d-1 no longer undergoes a reduction process.
  • the image encoding apparatus 100 selects a depth at which the smallest encoding error occurs by comparing encoding errors for each depth to determine a coding depth for the coding unit 912. For example, a coding error of a coding unit having a depth of 0 is encoded by performing motion prediction for each division type 912, 914, 916, and 918, and then a prediction unit in which the smallest coding error occurs is determined. Similarly, prediction units having the smallest coding error may be searched for depths 0, 1, ..., d-1. In the depth d, a coding error may be determined through motion prediction based on the prediction unit 960 while being a coding unit having a size of 2N_dx2N_d.
  • the depth with the smallest error is selected by comparing the minimum coding errors for all depths of depths 0, 1, ..., d-1, and d, and thus the coding depth may be determined.
  • the coded depth and the prediction unit of the corresponding depth may be encoded and transmitted as information about an encoding mode.
  • the coding unit since the coding unit must be reduced from the depth 0 to the coded depth, only reduced information of the coded depth is set to '0', and reduced information for each depth except the coded depth should be set to '1'.
  • the encoding information extracting unit 220 of the image decoding apparatus 200 extracts information about a coding depth and a prediction unit for the coding unit 912 and uses the same to decode the coding unit 912. Can be.
  • the image decoding apparatus 200 may identify a depth of which the reduction information is '0' as an encoding depth by using the reduction information for each depth, and use the decoding information by using information about an encoding mode for the corresponding depth. have.
  • 10A and 10B illustrate a relationship between a coding unit, a prediction unit, and a frequency transformation unit, according to an embodiment of the present invention.
  • the coding units 1010 are coding units according to coding depths determined by the image encoding apparatus 100 according to an embodiment with respect to the maximum coding unit 1000.
  • the prediction unit 1060 is prediction units of coding units of respective coding depths of the coding unit 1010
  • the transformation unit 1070 is transformation units of coding units of each coding depth.
  • the depth-based coding units 1010 have a depth of 0
  • the coding units 1012 and 1054 have a depth of 1
  • coding units 1020, 1022, 1024, 1026, 1030, 1032, and 1038 have a depth of 3
  • coding units 1040, 1042, 1044, and 1046 have a depth of 4.
  • Some of the prediction units 1060 1014, 1016, 1022, 1032, 1048, 1050, 1052, and 1054 are types in which coding units are split. That is, the prediction units 1014, 1022, 1050, and 1054 are split types of 2N ⁇ N, the prediction units 1016, 1048, and 1052 are split types of N ⁇ 2N, and the prediction units 1032 are split types of N ⁇ N. That is, the prediction unit of the deeper coding units 1010 is smaller than or equal to each coding unit.
  • the transformation units 1014, 1016, 1022, 1032, 1048, 1050, 1052, and 1054 are data units having different sizes or shapes when compared to the corresponding prediction unit among the prediction units 1060. That is, the image encoding apparatus 100 and the image decoding apparatus 200 according to an embodiment of the present invention may each perform based on separate data units, even in the case of prediction and frequency transform / inverse transform operations for the same coding unit. Can be.
  • FIG. 11 is a diagram of encoding information according to coding units, according to an embodiment of the present invention.
  • the encoding information encoder 140 of the image encoding apparatus 100 encodes encoding information for each coding unit, and extracts encoding information of the image decoding apparatus 200 according to an embodiment of the present invention.
  • the unit 220 may extract encoding information for each coding unit.
  • the encoding information may include reduction information about the coding unit, split type information, prediction mode information, and transformation unit size information.
  • the encoding information illustrated in FIG. 11 is only an example that may be set in the image encoding apparatus 100 and the image decoding apparatus 200 according to an embodiment of the present disclosure, and is not limited to the illustrated example.
  • the reduced information may indicate a coded depth of the corresponding coding unit. That is, since the depth that is no longer reduced according to the reduced information is a coded depth, split type information, a prediction mode, and transform unit size information may be defined for the coded depth. If it is necessary to further reduce the size according to the reduced information, encoding should be performed independently for each coding unit of the reduced four higher depths.
  • the split type information may indicate the split type of the transform unit of the coding unit of the coded depth as one of 2Nx2N, 2NxN, Nx2N, and NxN.
  • the prediction mode may indicate the motion prediction mode as one of an intra mode, an inter mode, and a skip mode. Intra mode can be defined only in split type 2Nx2N and NxN, and skip mode can be defined only in split type 2Nx2N.
  • the conversion unit size may be set to two kinds of sizes in the intra mode and two kinds of sizes in the inter mode.
  • encoding information for each coding unit of the coded depth to which they belong may be stored. Therefore, when the encoding information held by the adjacent minimum coding units are respectively checked, it may be determined whether the information is included in the coding unit having the same coding depth. In addition, since the coding unit of the corresponding coding depth may be identified by using the encoding information held by the minimum coding unit, the distribution of the coded depths within the maximum coding unit may be inferred.
  • a coding unit is a term referred to in an encoding step of an image
  • a coding unit may be defined as a decoding unit in terms of a decoding step of an image. That is, the terms coding unit and decoding unit may only be different in which step is referred to in the encoding and decoding steps of the image, and the coding unit in the encoding step may be called a decoding unit in the decoding step.
  • the encoding unit and the decoding unit will be uniformly called as coding units.
  • FIG. 12 is a block diagram illustrating a configuration of an intra prediction apparatus 1200 according to an embodiment of the present invention.
  • an intra prediction apparatus 1200 includes a predictor 1210 and a post processor 1220.
  • the prediction unit 1210 performs intra prediction on the current coding unit by applying intra prediction modes determined according to the size of the current coding unit, and outputs the first prediction coding unit.
  • the post-processing unit 1200 performs post-processing by changing the pixel value of each pixel of the first prediction coding unit by using the neighboring pixels of each pixel constituting the first prediction coding unit to perform the post-processing second prediction coding unit.
  • FIG. 13 illustrates the number of intra prediction modes according to the size of a coding unit, according to an embodiment of the present invention.
  • the number of intra prediction modes to be applied to the coding unit may be variously set according to the size of the coding unit (the decoding unit in the decoding step). For example, referring to FIG. 13, when the size of an intra prediction coding unit is NxN, the number of intra prediction modes that are actually performed for each of coding units having a size of 2x2, 4x4, 8x8, 16x16, 32x32, 64x64, and 128x128 is respectively. 5, 9, 9, 17, 33, 5, 5 (in the case of Example 2) can be set.
  • the reason for differentiating the number of intra prediction modes that are actually performed according to the size of the coding unit is that the overhead for encoding the prediction mode information varies according to the size of the coding unit.
  • a small coding unit occupies a small portion of the entire image, overhead for transmitting additional information such as a prediction mode of the small coding unit may increase. Therefore, when a small coding unit is encoded in too many prediction modes, the bit amount may increase, thereby reducing the compression efficiency.
  • a coding unit having a large size for example, a coding unit having a size of 64x64 or more is generally selected as a coding unit for a flat region of an image, a large size that is largely selected for encoding such a flat region is often selected. Encoding a coding unit in too many prediction modes may also be inefficient in terms of compression efficiency.
  • the coding unit is largely N1xN1 (2 ⁇ N1 ⁇ 8, N1 is an integer), N2xN2 (16 ⁇ N2 ⁇ 32, N2 is an integer), N3xN3 (64 ⁇ N3, N3 is an integer)
  • N1xN1 size A1 (A1 is a positive integer)
  • A1 A1 is a positive integer
  • the size of each coding unit is satisfied to satisfy the relationship A3 ⁇ A1 ⁇ A2. It is preferable to set the number of intra prediction modes to be performed according to. That is, assuming that the current picture is largely classified into a small coding unit, a medium coding unit, and a large coding unit, the medium coding unit has the largest number of prediction modes and the small coding unit. And a coding unit having a large size is preferably set to have a relatively smaller number of prediction modes.
  • the present invention is not limited thereto and may have a larger number of prediction modes for smaller and larger coding units.
  • the number of prediction modes according to the size of each coding unit illustrated in FIG. 13 is only an embodiment, and the number of prediction modes according to the size of each coding unit may be changed.
  • 14A is a diagram illustrating an example of an intra prediction mode applied to a coding unit of a predetermined size, according to an embodiment of the present invention.
  • a vertical mode for example, a vertical mode (mode 0), a horizontal mode (mode 1), and a direct current (DC) mode during intra prediction of a coding unit having a size of 4 ⁇ 4.
  • Mode 2 Diagonal Down-Left Mode
  • Mode 4 Diagonal Down-Right Mode
  • Mode 5 Vertical-Right Mode
  • Mode 6 Horizontal Down (Horizontal) -Down mode
  • mode 7 vertical left (Right-Left) mode
  • horizontal-up Horizontal-Up
  • FIG. 14B is a diagram illustrating the directions of intra prediction modes of FIG. 14A.
  • the number at the end of the arrow indicates the mode value when the prediction is performed in the direction.
  • Mode 2 is not shown here as a DC prediction mode without direction.
  • FIG. 14C illustrates an intra prediction method for the coding unit illustrated in FIG. 14A.
  • a prediction coding unit is generated using A-M which is a neighboring pixel of the current coding unit according to an available intra prediction mode determined by the size of the coding unit. For example, an operation of predictively encoding the current coding unit having a size of 4x4 according to mode 0 of FIG. 14A, that is, the vertical mode will be described. First, a pixel value of pixels A to D adjacent to a current coding unit having a size of 4x4 is predicted as a pixel value of a 4x4 current coding unit.
  • the pixel A values are the four pixel values included in the first column of the 4x4 current coding unit
  • the pixel B values are the four pixel values included in the second column of the 4x4 current coding unit
  • the pixel C The value of is predicted as four pixel values included in the third column of the 4x4 current coding unit
  • the value of pixel D is predicted as four pixel values included in the fourth column of the 4x4 current coding unit.
  • an error value is obtained by subtracting the actual values of the 4x4 current coding unit predicted using the pixels A to D and the pixels included in the original 4x4 current coding unit, and then encoding the error value.
  • FIG. 15 illustrates another example of an intra prediction mode applied to a coding unit of a predetermined size, according to an embodiment of the present invention.
  • a peripheral pixel to be used as a reference pixel to be used as a reference pixel centered on pixels in a coding unit to set intra prediction modes in various directions.
  • the prediction direction is set using the dx and dy parameters. For example, when 33 prediction modes are defined as mode N (N is an integer from 0 to 32), mode 0 is a vertical mode, mode 1 is a horizontal mode, mode 2 is a DC mode, and mode 3 is a plain mode.
  • Mode 4 to mode31 respectively, (1, -1), (1,1), (1,2), (2,1), (1, -2), (2) as shown in Table 1 below. , 1), (1, -2), (2, -1), (2, -11), (5, -7), (10, -7), (11,3), (4,3) , (1,11), (1, -1), (12, -3), (1, -11), (1, -7), (3, -10), (5, -6), ( 7, -6), (7, -4), (11,1), (6,1), (8,3), (5,3), (5,7), (2,7), ( By using (dx, dy) represented by one of 5, -7) and (4, -3), a prediction mode having a directionality of tan ⁇ 1 (dy / dx) may be defined.
  • the last mode 32 may be set to a bilinear mode using bilinear interpolation as described below with reference to FIG. 17.
  • 16 is a reference diagram for explaining intra prediction modes having various directions according to an embodiment of the present invention.
  • intra prediction modes according to an embodiment of the present invention may have various directionalities of tan ⁇ 1 (dy / dx) using a plurality of (dx, dy) parameters.
  • an angle of tan ⁇ 1 (dy / dx) determined according to values of (dx, dy) for each mode shown in Table 1 around the current pixel P to be predicted in the current coding unit is determined.
  • Peripheral pixels A and B positioned on the extension line 150 may be used as predictors of the current pixel P.
  • the neighboring pixel used as the predictor is preferably a pixel of the previous coding unit on the left side and the current coding unit, which has been previously encoded and reconstructed.
  • the extension line 160 passes between the integer position peripheral pixels instead of the peripheral pixel at the integer position, the neighboring pixel closer to the extension line 160 may be used as the predictor of the current pixel P.
  • the upper peripheral pixel A and the left peripheral pixel B are present.
  • the intra prediction modes having various directionalities as shown in Table 1 are preferably set in the encoding end and the decoding end so that only corresponding indexes of the intra prediction modes set for each coding unit are transmitted.
  • 17 is a reference diagram for describing a bilinear mode according to an embodiment of the present invention.
  • the pixel value of the current pixel P, the upper, lower, left, and right boundaries of the current pixel P centered on the current pixel P to be predicted in the current coding unit, and the current pixel P The geometric mean value is calculated by considering the distance to the top, bottom, left, and right edges of and used as the predictor of the current pixel P. That is, in the bilinear mode, as a predictor of the current pixel P, pixels A 171, pixel B 172, pixel D 176, and pixel E 177, which are located on the top, bottom, left and right boundaries of the current pixel P, The geometric mean value of the distance to the top, bottom, left, and right boundaries of the current pixel P is used.
  • the bilinear mode is also one of the intra prediction modes
  • the upper and left neighboring pixels that have been previously encoded and then reconstructed as reference pixels in prediction should be used. Therefore, the pixel A 161 and the pixel B use virtual pixel values generated by using the upper and left peripheral pixels instead of using the corresponding pixel values in the current coding unit as they are.
  • the virtual pixel B located at the rightmost boundary line ( 172) is calculated as in Equation 3 below.
  • the average value of A + B + D + E is determined. May be used as the predictor of the current pixel P 170.
  • the bilinear prediction process is applied to all pixels in the current coding unit, thereby generating a prediction coding unit of the current coding unit according to the bilinear prediction mode.
  • the prediction encoding is performed according to intra prediction modes that are variously set according to the size of a coding unit, thereby enabling more efficient compression according to the characteristics of an image.
  • the prediction coding unit output by applying the intra prediction modes that are variously set according to the size of the coding unit from the prediction unit 1210 of the intra prediction unit 1200 of FIG. 12 has a constant directionality according to the applied intra prediction mode.
  • the directionality inside the prediction coding unit may improve the prediction efficiency when the pixels of the current coding unit to be encoded have a constant directionality, but may decrease the prediction efficiency when the pixels of the current coding unit do not have the directionality.
  • the post-processor 1220 is a post-processing operation for the prediction coding unit generated through intra prediction and uses pixel values of each pixel in the prediction coding unit by using each pixel in the prediction coding unit and at least one peripheral pixel. By generating a new predictive coding unit to improve the prediction efficiency of the image.
  • the post processor 1220 changes the pixel value of each pixel constituting the first prediction coding unit by performing calculation using each pixel constituting the first prediction coding unit generated by the prediction unit 1210 and at least one neighboring pixel. To generate a second prediction coding unit. As described above, the prediction unit 1220 generates the first prediction coding unit by applying the available intra prediction modes according to the size of the coding unit.
  • FIG. 18 is a reference diagram for explaining a post-processing operation of a first prediction coding unit according to an embodiment of the present invention.
  • reference numerals 1810 to 1860 illustrate a process of changing each pixel value in the first prediction coding unit processed by the post processor 1220 in time order.
  • the post-processor 1220 calculates a weighted average value of pixel values of pixels to be changed in the first prediction coding unit and pixels of the neighboring pixels to determine a weighted average value of the first prediction coding unit. Change the pixel value of each pixel.
  • f [1] [1] is the pixel value of the pixel 1821 to be changed in the first prediction coding unit 1810
  • f [0] is the pixel value of the pixel 1822 located above.
  • Equation 1 If the pixel value of the pixel 1823 located on the left is f [1] [0], the value of the pixel value f [1] [1] of the pixel 1821 is changed to f '[1] [. 1], f '[1] [1] may be calculated as in Equation 1 below.
  • the post-processor 1220 may include pixels to be changed from the upper left side to the lower right side with respect to each pixel in the first prediction coding unit, and upper and lower sides thereof.
  • the pixel value of each pixel of the first prediction coding unit is changed by calculating a weighted average value of pixels located on the left side.
  • the post-processing operation of the prediction coding unit according to the present invention is not limited to the left-most side from the left-most side, but is from the right-most side to the left-most side, or from the right-most side to the left-most side, or the left-most side. From each of the pixels of the first prediction coding unit may be sequentially performed in the top-right direction.
  • the post processor 1220 changes the pixels of the first prediction coding unit from the rightmost side to the leftmost side in the reverse order of the processing sequence illustrated in FIG. 18, the post-processing unit 1220 and the pixels positioned below and to the right of the first prediction coding unit are to be changed.
  • the pixel value of each pixel of the first prediction coding unit is changed by calculating a weighted average of these.
  • reference numeral 1910 denotes a first pixel of a first prediction coding unit to be changed
  • reference numerals 1911 to 1918 denote peripheral pixels located around the first pixel 1910.
  • the post-processing unit 1220 is not limited to neighboring pixels located above and to the left of the first prediction coding unit, as shown in FIG. 18, and surrounding pixels 1911.
  • Post processing may be performed on the first pixel 1910 using a predetermined number of peripheral pixels selected from 1918 to 1918. That is, referring to FIG. 20, a predetermined number of peripheral pixels are selected from the peripheral pixels P1 to P8 around the first pixel c of the current coding unit, and the selected peripheral pixel and the first pixel c are selected. The pixel value of the first pixel c is changed through a predetermined operation using.
  • the size of the first prediction coding unit is mxn (m and n are positive integers), the i th column (i is an integer from 0 to m-1) within the first prediction coding unit, and j (j is an integer from 0 to n-1).
  • the pixel value of the first pixel 1910 located in the th row is f [i] [j], and among the peripheral pixels 1911 to 1918 of the first pixel 1910.
  • the post-processing unit 1220 uses the first pixel ( The pixel value f [i] [j] of 1910 is changed to f '[i] [j].
  • the post processor 1220 generates the second prediction coding unit by changing the pixel value by applying the above equation 2 to all the pixels in the first prediction coding unit 1900.
  • the post-processing unit 1220 may perform post-processing operations using four or more peripheral pixels.
  • the post-processing unit 1220 uses the pixels of each pixel of the first prediction coding unit through the weighted harmonic mean value of each pixel that is changed in the first prediction coding unit and pixels positioned around each pixel.
  • the second prediction block is generated by changing the value.
  • the post-processing unit 1220 is located in the i-th column and the j-th row of the first prediction coding unit by using the upper and left peripheral pixels as shown in Equation 3 below.
  • the pixel value f [i] [j] of the pixel is changed to f '[i] [j].
  • the post-processing unit 1220 changes the pixel value of each pixel of the first prediction coding unit through the weighted geometric mean value of each pixel that is changed in the first prediction coding unit and the neighboring pixels of each pixel. Thus, a second prediction coding unit is generated.
  • the post-processor 1220 is located in the i-th column and the j-th row of the first prediction coding unit by using the upper and left peripheral pixels as shown in Equation 4 below.
  • the pixel value f [i] [j] of the pixel is changed to f '[i] [j].
  • the post-processing unit 1220 is not limited to the upper and left peripheral pixels of the pixel to be changed, but the peripheral pixels 1911 as shown in FIG. 19.
  • the post-processing operation may be performed using a predetermined number of peripheral pixels selected from 1918 to 1918.
  • the post-processing unit 1220 is a pixel value of each pixel of the first prediction coding unit as an average value of one peripheral pixel selected from among pixels to be changed in the first prediction coding unit and neighboring pixels thereof. By generating the second predictive coding unit.
  • the post-processing unit 1220 uses pixels of the pixels located in the i-th column and the j-th row of the first prediction coding unit by using the upper peripheral pixel as shown in Equation 5 below.
  • the pixel value f [i] [j] can be changed to f '[i] [j].
  • the post-processing unit 1220 changes the pixel value of each pixel of the first prediction code unit to an average value of pixels that are changed in the first prediction coding unit and neighboring pixels located to the left of the first prediction coding unit. Thus, a second prediction coding unit is generated.
  • the post-processor 1220 performs pixel values f [i] [j] of pixels located in the i th column and the j th row of the first prediction coding unit as shown in Equation 6 below. To f '[i] [j].
  • the post processor 1220 generates the second prediction coding unit by changing the pixel value to a median between the pixels to be changed in the first prediction coding unit and neighboring pixels. do. For example, referring back to FIG. 19, pixel values f [i] [j] of the first pixel 1910 located in the i-th column and the j-th row of the first prediction coding unit 1900, and the second pixel ( Pixel values f [i] [j-1] of 1912 and pixel values f [i-1] [j] of third pixel 1911 are in the following magnitude order; Assume that f [i] [j-1]> f [i-1] [j]> f [i] [j]. In this case, the post-processing unit 1220 according to the sixth embodiment of the present invention sets the pixel value f [i] [j] of the first pixel 510 to be changed to an intermediate value f [i-1] [j]. Change it.
  • the post-processing unit 1220 uses the pixel values of adjacent coding units that are encoded before and reconstructed before the current coding unit, instead of using the neighboring pixels of the changed pixel. 2 Generate a predictive coding unit.
  • the post-processor 1220 may include the first pixel 1910 located in the i-th column and the j-th row to be changed in the first prediction coding unit 1900.
  • the pixel value of the first pixel 1910 is calculated as f '[i] [j] by calculating an average value of the pixels 1921 located in the same column as and positioned in the upper neighboring coding unit of the current coding unit as shown in Equation 7 below. Change it.
  • Equation 7 f [-1] [j] represents a pixel value of a pixel 1921 located in the same column as the first pixel 1910 and positioned in an upper neighboring coding unit of the current coding unit.
  • the post processor 1220 is positioned in the same row as the first pixel 1910 located in the i th column and the j th row to be changed in the first prediction coding unit 1900.
  • the average value of the pixels 1922 located in the left neighboring coding unit of the current coding unit is calculated as shown in Equation 8 to change the pixel value of the first pixel 1910 to f '[i] [j].
  • f [i] [-1] represents a pixel value of a pixel 1922 positioned in the same row as the first pixel 1910 and positioned in a left neighboring coding unit of the current coding unit.
  • the post-processor 1220 may include the first pixel 1910 and the first pixel 1910 located in the i-th column and the j-th row to be changed in the first prediction coding unit 1900.
  • the pixel value of the first pixel 1910 is changed to f '[i] [j] by calculating.
  • the post-processing unit 1220 selects the pixel value f [i] [j] of the first pixel to be changed in the first prediction coding unit 1900 from the following equations 10 to 13. Change to f '[i] [j] using one.
  • Equation 10 changes pixel values to a value gradually increasing in a downward direction in units of columns of a first prediction coding unit, and Equation 11 gradually increases pixel values to a right direction in a row unit of a first prediction coding unit. To change it to a value.
  • Equation 12 changes each pixel value to a value gradually decreasing downward in the column unit of the first prediction coding unit, and Equation 13 gradually increases each pixel value to the right direction in the row unit of the first prediction coding unit. Change it to a decreasing value.
  • the post-processing unit 1220 performs the f [i] [j] and the pixel values of the first pixel located in the i th column and the j th row to be changed in the first prediction coding unit.
  • the pixel value of the first pixel is changed to f '[i] [j] as shown in Equation 14 below. .
  • Equation (14) is based on a kind of wave equation, which is a boundary condition between the pixel value of the leftmost column and the pixel value of the leftmost column of the first prediction coding unit in order to smooth the pixel value inside the first prediction coding.
  • the costs of bitstreams encoding the second prediction coding units generated by applying various operation modes are compared to generate a second prediction coding unit having a minimum cost.
  • Operation information used to add is added to the header area of the bitstream.
  • the variable length coding scheme of allocating a small bit to the operation information that is frequently used is different based on the distribution of the operation information determined after the encoding of the predetermined number of coding units is completed. Operations can be displayed separately. For example, when an operation according to the first embodiment of the present invention is an optimal operation that generates the smallest cost in most coding units, the smallest bit is assigned to the index representing the operation according to the first embodiment.
  • the operation according to the first embodiment may be distinguished from the operations according to the other embodiments.
  • a second prediction coding unit may be generated by applying a different operation to each sub-coding unit, simplifying the calculation and reducing the overhead ratio.
  • the same operation may be applied to sub-coding units included in the same coding unit.
  • a rate-distortion optimization method may be used as a cost for determining an optimal operation mode. Since the encoding method according to an embodiment of the present invention is applied to an intra prediction coding unit used as reference data of another coding unit, it is preferable to calculate the cost by giving a high weight to the distortion value in the rate-distortion optimization method. Do. That is, the conventional rate-distortion optimization method calculates the cost based on the distortion value and the generated bit rate, which are the difference between the encoded image and the original image as shown in Equation 15 below.
  • Cost ⁇ * distortion + bit-rate ( ⁇ is a real value of 2 or more)
  • 21 is a flowchart illustrating an image encoding method according to an embodiment of the present invention.
  • a first prediction coding unit for the current coding unit encoded in operation 2110 is generated.
  • the first prediction coding unit is an intra prediction block generated by applying a general intra prediction method and intra prediction modes having various directions according to the size of the coding unit as described above.
  • a pixel value of each pixel of the first prediction coding unit is changed by using each pixel constituting the first prediction coding unit and at least one neighboring pixel to generate a second prediction coding unit.
  • the first prediction encoding is performed by applying various operation modes to the pixels around the pixel to be changed in the first prediction coding unit.
  • the second prediction coding unit is generated by changing the pixel value of each pixel of the unit.
  • a bitstream is generated by transforming, quantizing, and entropy encoding a residual, which is a difference between a current coding unit and a second prediction coding unit.
  • the decoding apparatus may generate the second prediction coding unit for the current coding unit.
  • 22 is a flowchart illustrating an image decoding method according to an embodiment of the present invention.
  • prediction mode information of a current decoding unit to be decoded is extracted from a bitstream received in step 2210.
  • a first prediction decoding unit for the current decoding unit is generated according to the extracted prediction mode information.
  • operation information using each pixel constituting the first prediction decoding unit and neighboring pixels of each pixel is extracted from the bitstream.
  • the pixel value of each pixel is changed using each pixel constituting the first prediction decoding unit and neighboring pixels of each pixel according to the extracted operation information to generate a second prediction decoding unit.
  • a residual corresponding to a difference between the current decoding unit and the second prediction decoding unit is extracted from the bitstream and reconstructed.
  • the residual and the second prediction decoding unit are added to decode the current decoding unit.
  • the video encoding and decoding method according to the present invention can also be embodied as computer readable codes on a computer readable recording medium.
  • the computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disks, optical data storage devices, and the like.
  • the computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.

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Abstract

L'invention concerne un procédé de codage d'images et un dispositif de codage d'images qui génère une première unité de codage prédictif pour l'unité de codage actuelle à coder, qui génère une seconde unité de codage prédictif par modification de la valeur de pixel de chaque pixel de la première unité de codage prédictif, à l'aide de chaque pixel qui constitue la première unité de codage prédictif et d'au moins un pixel périphérique, ce qui permet d'améliorer l'efficacité de prédiction d'images par codage de la valeur de la différence entre l'unité de codage actuelle et la seconde unité de codage prédictif. L'invention concerne un procédé et un dispositif de décodage correspondants.
PCT/KR2009/003634 2008-07-02 2009-07-02 Procédé et dispositif de codage d'images, et procédé et dispositif de décodage correspondants WO2010002214A2 (fr)

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US13/002,398 US8879626B2 (en) 2008-07-02 2009-07-02 Image encoding method and device, and decoding method and device therefor
JP2011516154A JP5314136B2 (ja) 2008-07-02 2009-07-02 映像の符号化方法及び装置、並びにその復号化方法及び装置
CN200980134680.3A CN102144393B (zh) 2008-07-02 2009-07-02 图像编码方法及装置以及其解码方法及装置
EP09773750.6A EP2309756B1 (fr) 2008-07-02 2009-07-02 Procédé de décodage d'images
US13/403,534 US8311110B2 (en) 2008-07-02 2012-02-23 Image encoding method and device, and decoding method and device therefor
US13/683,749 US8824549B2 (en) 2008-07-02 2012-11-21 Image encoding method and device, and decoding method and device therefor
US13/686,499 US8649435B2 (en) 2008-07-02 2012-11-27 Image decoding method which obtains a predicted value of a coding unit by weighted average of predicted values
US13/686,635 US8611420B2 (en) 2008-07-02 2012-11-27 Image encoding method and device, and decoding method and device therefor
US14/107,802 US8902979B2 (en) 2008-07-02 2013-12-16 Image decoding device which obtains predicted value of coding unit using weighted average
US14/107,910 US8837590B2 (en) 2008-07-02 2013-12-16 Image decoding device which obtains predicted value of coding unit using weighted average
US14/501,769 US9118913B2 (en) 2008-07-02 2014-09-30 Image encoding method and device, and decoding method and device therefor
SM201500060T SMT201500060B (it) 2008-07-02 2015-03-11 Procedimento de decodifica di immagini
SM201500075T SMT201500075B (it) 2008-07-02 2015-03-18 Dispositivo di decodifica di immagini
SM201500073T SMT201500073B (it) 2008-07-02 2015-03-18 Dispositivo di decodifica di immagini
US14/802,651 US9402079B2 (en) 2008-07-02 2015-07-17 Image encoding method and device, and decoding method and device therefor

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US13/683,749 Continuation US8824549B2 (en) 2008-07-02 2012-11-21 Image encoding method and device, and decoding method and device therefor
US13/686,635 Continuation US8611420B2 (en) 2008-07-02 2012-11-27 Image encoding method and device, and decoding method and device therefor
US13/686,499 Continuation US8649435B2 (en) 2008-07-02 2012-11-27 Image decoding method which obtains a predicted value of a coding unit by weighted average of predicted values
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